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52:29
Java Follow 365 Followers

Speedup Your Java Apps with Hardware Counters

Posted by Sergey Kuksenko  on  Feb 28, 2017 Posted by Sergey Kuksenko Follow 1 Followers  on  Feb 28, 2017

Sergey Kuksenko discusses how Performance Monitoring Unit works, what Hardware Counters are, which tools have friendship with Java and how to use HWC for speeding up our Java applications.

46:31
Development Follow 140 Followers

Unorthodox Paths to High Performance

Posted by Alex Rasmussen  on  Aug 21, 2016 Posted by Alex Rasmussen Follow 0 Followers  on  Aug 21, 2016

Alex Rasmussen examines some lessons learned while building record-setting sorting systems at UC San Diego.

45:00
Java Follow 365 Followers

Examining Low Pause Garbage Collection in Java

Posted by John Oliver  on  Apr 26, 2016 1 Posted by John Oliver Follow 0 Followers  on  Apr 26, 2016 1

John Oliver takes a look at both G1 and Shenandoah, explaining how they work, what are their limitations, providing tuning advice. He also looks at recent and future changes to garbage collection.

52:03
Java Follow 365 Followers

Java 9 - The (G1) GC Awakens!

Posted by Monica Beckwith  on  Apr 24, 2016 5 Posted by Monica Beckwith Follow 120 Followers  on  Apr 24, 2016 5

Monica Beckwith talks about G1 pause (young and mixed) composition, G1's remembered sets and collection set and G1's concurrent marking algorithm, providing performance tuning advice.

48:42
Java Follow 365 Followers

Understanding HotSpot JVM Performance with JITWatch

Posted by Chris Newland  on  Apr 15, 2016 Posted by Chris Newland Follow 0 Followers  on  Apr 15, 2016

Chris Newland discusses performance-boosting techniques used by the JVM’s JIT and introduces JITWatch, a tool helping to get the best JVM performance for a code.

50:48
Development Follow 140 Followers

Broken Performance Tools

Posted by Brendan Gregg  on  Apr 03, 2016 Posted by Brendan Gregg Follow 1 Followers  on  Apr 03, 2016

Brendan Gregg focuses on broken tools and metrics instead of the working ones. Metrics can be misleading, and counters can be counter-intuitive. He advises on how to approach new performance tools.

01:01:16
Development Follow 140 Followers

Full Stack Web Performance

Posted by Nik Molnar  on  Jan 10, 2016 Posted by Nik Molnar Follow 0 Followers  on  Jan 10, 2016

Nik Molnar discusses how to use client and server side profiling tools to improve the performance of a web application, providing solutions to the most common performance problems.

41:54
Architecture & Design Follow 603 Followers

Go GC: Prioritizing Low Latency and Simplicity

Posted by Rick Hudson  on  Dec 09, 2015 Posted by Rick Hudson Follow 0 Followers  on  Dec 09, 2015

Rick Hudson discusses the motivation, performance, and technical challenges of Go's low latency concurrent GC and why the approach fits Go well.

01:31:53
Java Follow 365 Followers

Building and Tuning High Performance Java Platforms

Posted by Emad Benjamin  on  Nov 08, 2015 Posted by Emad Benjamin Follow 0 Followers  on  Nov 08, 2015

Emad Benjamin covers various GC tuning techniques and how to best build platform engineered systems; in particular the focus is on tuning large scale JVM deployments.

54:52
Java Follow 365 Followers

Tuning Java for Big Data

Posted by Scott Seighman  on  Oct 28, 2015 Posted by Scott Seighman Follow 0 Followers  on  Oct 28, 2015

Scott Seighman discusses causes of common performance issues in Big Data environments, heap size, garbage collection, JVM reuse tuning guidelines and Big Data performance analysis tools.

59:34
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Beating Hand Tuned Assembly in Compiled Languages

Posted by David Richardson  on  Aug 09, 2015 Posted by David Richardson Follow 0 Followers  on  Aug 09, 2015

David Richardson presents the optimization techniques employed to set three world speed records using a combination of code generation and hardware specific optimizations.

30:26
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JVM Optimization 101

Posted by Sebastian Zarnekow  on  Jul 31, 2015 1 Posted by Sebastian Zarnekow Follow 0 Followers  on  Jul 31, 2015 1

Sebastian Zarnekow discusses JVM internal optimizations, presenting how the JVM sees through code to apply techniques like inlining, loop unrolling and escape analysis at runtime.

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